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UPDATE: TQL Says Data Breach Was Not Malware Or Ransomware Attack
Machine learning is of rising importance in cybersecurity. The primary objective of applying machine learning in cybersecurity is to make the process of malware detection more actionable, scalable and effective than traditional approaches, which require human intervention. The cybersecurity domain involves machine learning challenges that require efficient methodical and theoretical handling. Several machine learning and statistical methods, such as deep learning, support vector machines and Bayesian classification, among others, have proven effective in mitigating cyber-attacks. The detection of hidden trends and insights from network data and building of a corresponding data-driven machine learning model to prevent these attacks is vital to design intelligent security systems.
UPDATE: TQL says data breach was not malware or ransomware attack
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We have not had to recover our data after a ransomware attack but if our whole environment was encrypted, we…
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